import tensorflow as tf
import numpy as np
#save

'''
## Save to file
#remember to define the same dtype and shape when restore
W=tf.Variable([[1,2,3],[3,4,5]],dtype=tf.float32,name='weights')
b=tf.Variable([[1,2,3]],dtype=tf.float32,name='biases')

init=tf.initialize_all_variables()


saver=tf.train.Saver()


with tf.Session() as sess:
     sess.run(init)
     save_path=saver.save(sess,"my_net/save_net.ckpt")
     print("Save to path:",save_path)
'''


#restore variables
#redifine the same shape and the same type for your variables
W=tf.Variable(np.arrange(6).reshape((2,3)),dtype=tf.float32,name='weights')
b=tf.Variable(np.arrange(3).reshape((1,3)),dtype=tf.float32,name='biases')

#not need init step


saver=tf.train.Saver()
with tf.Session() as sess:
     saver.restore(sess,"my_net/save_net.ckpt")
     print("weights:",sess.run(W))
     print("biases:",sess.run(b))

